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of Canada’s premier research institutes, and will interact with leading scientists in genomics, ecology, evolutionary biology, and molecular biology. The position is located on UBC’s Vancouver campus, in a city
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contributing to the design and development of advanced models, algorithms, and AI‑driven systems for renewable energy microgrids and data centers. The Research Assistant will work closely with laboratory
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 12 hours ago
The PDF will join the Michael Smith Laboratories, one of Canada’s premier research institutes, and will interact with leading scientists in genomics, ecology, evolutionary biology, and molecular biology
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capabilities to localize and map their operational environment, in order to gain situational awareness. We have been working on vision-based semantic SLAM algorithms to imbue the log-loading machines with
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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-language scientific and technical programming, including Python, C++, Java, Embedded C, LaTeX, and Swift, for developing algorithms, simulations, and research workflows. Skilled in research methodology
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 22 hours ago
medicine and AI-driven personalized treatment planning Human-AI collaboration in surgical safety and perioperative care AI for health equity — reducing algorithmic bias and expanding access to care
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computed tomography and light microscopy. Lab background in developmental and evolutionary biology. Some knowledge of cell biology. Location: This position is located in Montreal, Quebec and the work
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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registry), previously developed algorithms (e.g., converting all opioids dispensed to morphine milligram equivalents), and epidemiological and econometric methods (e.g., interrupted time series analysis